Spotify, a leader in the industry, has transformed how we access music through utilizing data analytics to give individualized experiences. In this blog post, we will delve into how Spotify uses data ...

The rise of self-service BI tools enabled people outside of IT to analyze data and create data visualizations and dashboards on their own. That was terrific when the data was ready for analysis, but ...

For the past year, the Chinese government has been conducting some of the earliest experiments in building regulatory tools to govern artificial intelligence (AI). In that process, China is trying to ...

As technology progresses, the data plan of a firm has become an essential part of its overall operational strategy. Unfortunately, many organizations are yet to fully harness the potential value that ...

WebVOWL is a web application for the interactive visualization of ontologies. It implements the Visual Notation for OWL Ontologies (VOWL) by providing graphical depictions for elements of the Web ...

The influence of data analytics on multiple industries is vast in the current digital world. As we explore how data analytics is changing the world, we uncover a plethora of innovative applications ...

China is quickly closing the once formidable lead the U.S. maintained on AI research. Chinese researchers now publish more papers on AI and secure more patents than U.S. researchers do. The country ...

How do data and analytics leaders prepare for 2021? Here are the three trends to focus on. Last year took disruption to a new level. It's not necessarily news that enterprises are disrupting and ...

Advanced analytics have been available to businesses for years and are getting better all the time, but with a few big exceptions most retailers still use very basic tools. They do this even though ...

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study, 88% of IT decision-makers agree that data collection and analysis ...

Looking for datasets to practice data cleaning or preprocessing on? Look no further! Each of these datasets needs a little bit of TLC before it’s ready for different analysis techniques. For each ...

The data-related concepts non-technical people need to understand fall into five buckets: (i) data generation, collection and storage, (ii) what data looks and feels like to data scientists and ...